TensorFlow 1 version View source on GitHub

Returns image gradients (dy, dx) for each color channel.

Aliases: tf.compat.v1.image.image_gradients, tf.compat.v2.image.image_gradients


Both output tensors have the same shape as the input: [batch_size, h, w, d]. The gradient values are organized so that [I(x+1, y) - I(x, y)] is in location (x, y). That means that dy will always have zeros in the last row, and dx will always have zeros in the last column.


  • image: Tensor with shape [batch_size, h, w, d].


Pair of tensors (dy, dx) holding the vertical and horizontal image gradients (1-step finite difference).


  • ValueError: If image is not a 4D tensor.